Google Pixel 7
Geekbench AI Score
335
Single Precision Score
2572
Half Precision Score
5525
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 06:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
5356
996.0 IPS |
|
|
Image Classification (Q)
|
99% |
8418
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
5286
85.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9497
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
20766
24.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37844
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (Q)
|
87% |
6521
523.1 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.78 IPS |
|
|
Face Detection (Q)
|
97% |
31364
374.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
421
3.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
22447
172.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
32887
302.7 IPS |
|
|
Style Transfer (SP)
|
100% |
687
0.88 IPS |
|
|
Style Transfer (HP)
|
100% |
660
0.85 IPS |
|
|
Style Transfer (Q)
|
28% |
188
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.74 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10902
404.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (Q)
|
92% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.78 IPS |
|
|
Machine Translation (Q)
|
57% |
305
7.45 IPS |
